When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Paul Lipman is Chief Revenue Officer at Infleqtion, leading growth and productization efforts at the cutting edge of quantum technology. Over the last 25 years, Global Navigation Satellite Systems ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Quantum thermal machines are devices that leverage quantum mechanical effects to convert energy into useful work or cooling, similarly to traditional heat engines or refrigerators. Thermodynamics ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

(Top left) Composition of the universe, showing that dark matter accounts for about 27%. (Top right) Proposed quantum sensor network, where superconducting qubits are connected in different graph ...

Quantum metrology is a rapidly advancing field that harnesses the principles of quantum mechanics to enhance the precision and sensitivity of measurements beyond the limits of classical techniques. By ...

Traders are always looking for methods to increase their trading accuracy and obtain a competitive advantage in today’s financial markets. Quantum artificial intelligence (AI) is one new technology ...